Demographic rates of Golden-cheeked Warblers in an urbanizing woodland preserve

Reidy, Jennifer L.; Thompson, Frank R.; Connette, Grant M.; O'Donnell, Lisa

doi:10.1650/condor-17-86.1

Cited by 10 publications

(44 citation statements)

References 46 publications

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“…As often seems to be the case with study of poorly understood life history characteristics, our results may have raised as many or more questions than we have been able to answer. Our estimates of adult annual survival derived across 8 breeding seasons are similar to some of the relatively few estimates presumed to approximate true survival from other migratory songbirds on the North American breeding grounds (male and female Black-throated Blue Warblers [Setophaga caerulescens] = 0.40-0.51, ; male Golden-cheeked Warblers = 0.45-0.67, Reidy et al 2018). Interestingly, populations of both of these species are increasing, which raises questions about the relative contributions of different demographic rates to observed population trends of Golden-winged Warblers (Duarte et al 2015.…”

Section: Discussionsupporting

confidence: 59%

“…We ran the s-CJS model in a Bayesian framework using program JAGS (Plummer 2003) executed in package jagsUI (Kellner 2017) in program R (version 3.4.4, R Development Core Team 2018). We estimated annual survival by age, phenotype, sex, and study area, dispersal by age, and detection probability by site type because of variation in effort (Reidy et al 2018). We assumed a logistic (0, 1) prior distribution on all survival and detection probability slope coefficients (Rota et al 2016).…”

Section: Discussionmentioning

confidence: 99%

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Ecology and Management of Golden-Winged Warblers (Vermivora Chrysoptera) and Associated Avian Species in the Allegheny Mountains of West Virginia

Aldinger¹

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This dissertation focuses on the breeding season ecology and management of Goldenwinged Warblers (Vermivora chrysoptera) in the Allegheny Mountains of West Virginia with implications for other disturbance-dependent avian species. Golden-winged Warblers have a complex life history, requiring dynamic forest landscapes with varying age classes for breeding. Populations breeding in the Appalachian Mountains are among the most rapidly decreasing among vertebrates in eastern North America. For these reasons, much research already has been completed on Golden-winged Warblers. Nonetheless, we still have a limited understanding of the causes of population decreases and these causes may vary regionally. I organized this dissertation into 3 parts (Part 1: Introduction, Part 2: Golden-winged Warbler Ecology, Part 3: Golden-winged Warbler Management) including 6 chapters that follow a progression of accumulating knowledge on Golden-winged Warbler population decreases in the Allegheny Mountains of West Virginia. Part 1 includes chapter 1 and is an introduction to the dissertation. In chapter 1, I provided a brief introduction and justification for my research, placed the dissertation into the context of ongoing Golden-winged Warbler research across the species' range, and outlined the dissertation content. Through impressive collaborative efforts, our understanding of Goldenwinged Warbler ecology and management grew substantially during 2008-2016, the period during which this research took place. Part 2 includes chapters 2-4 and focuses on Golden-winged Warbler ecology with an overall objective of filling knowledge gaps for the species to enhance conservation efforts and inform future research. In chapter 2, I evaluated variables at multiple spatial scales during 2008-2015 to identify conditions that supported high densities of breeding Golden-winged Warblers and associated avian species. Spatial scales used for analyses represented annual dispersal (5-km radius), extraterritorial movement (1.5-km radius), intra-territorial movement (100-m radius), and local resource utilization (11.3-m radius). Golden-winged Warbler density peaked when the minimum elevation was 804 m at the 1.5-km radius scale but was negatively associated with This study was completed under the auspices of West Virginia University Institutional Animal Care and Use Committee protocols 07-0303 and 10-0201. viii TABLE OF CONTENTS LIST OF TABLES .

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Section: Discussionsupporting

confidence: 59%

Section: Discussionmentioning

confidence: 99%

Ecology and Management of Golden-Winged Warblers (Vermivora Chrysoptera) and Associated Avian Species in the Allegheny Mountains of West Virginia

Aldinger¹

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“…We assumed no age‐related variability in productivity ( m 1 = m 2 ) and constant adult survival with no obligate mortality ( S 1 = S 2 ), which is a suitable model for small, short‐lived birds (Noon and Sauer 2001). Age‐specific productivity and survival may be incorporated into population models of migratory songbirds, but we relied on vital rate estimates from Reidy et al (2018), and they did not provide age specific productivity or survival. Nevertheless, their estimates are from a large sample of territories during years the population appeared stable, which should serve as representative mean productivity and survival for our model.…”

Section: Methodsmentioning

confidence: 99%

“…We incorporated normal year‐to‐year variation or process variation as environmental stochasticity where we selected rates annually based on a mean and SD as described above (Akçakaya 2002, McGowan et al 2011). We created scenarios in addition to our baseline scenario to span the range of other mean estimates of productivity and survival in the literature and encompass the range of uncertainty reflected in 95% confidence and credible intervals for mean productivity and survival for the BCP (Reidy et al 2018). This allowed us to address parameter uncertainty or potential changes in rates due to habitat improvements or degradation (McGowan et al 2011).…”

Section: Methodsmentioning

confidence: 99%

Population Viability of Golden‐cheeked Warblers in an Urbanizing Landscape

Reidy

Thompson

O'Donnell³

2020

Wildlife Society Bulletin

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Population viability analyses can assess species persistence under current or simulated future conditions and guide conservation and management efforts for species of concern. We evaluated population viability of an endangered songbird, the golden-cheeked warbler (Setophaga chrysoparia), over a 50-year period using empirically derived population parameters collected from 2009 to 2015 on the Balcones Canyonlands Preserve (BCP), Travis County, Texas, USA. Assuming the extent and quality of habitat within the BCP does not change, the population remained stable with a population size of approximately 1,800 males, adult survival of 0.57, seasonal productivity of 1.32 male fledglings/territory, and assumed juvenile survival of 0.40. Population viability, however, was sensitive to changes in vital rates. The population declined toward local extinction when vital rates were at the low end of rates considered (0.47 adult survival, 1.14 male fledglings/territory, 0.28 juvenile survival), but had little to no probability of local extinction when vital rates were at the upper end (0.67 adult survival, 1.50 male fledglings/territory, 0.44 juvenile survival). Obtaining accurate estimates of juvenile survival remains problematic, but if juvenile survival is as low as previously reported elsewhere (0.28), the stability observed during the years of our study could be due to immigration of individuals displaced by habitat loss in the surrounding landscape. Increased carrying capacity, which served as a proxy for increased habitat quality within the BCP, was insufficient to sustain the population when productivity was low, illustrating the need for adequate seasonal productivity. Consistent with previous studies, our findings underscore the importance of managing for high-quality breeding habitat and maintaining connectivity with other large habitat patches to promote the long-term viability of the species. We suggest monitoring survival and productivity of high-concern species may be justified because assessment of status from abundance alone can be confounded by immigration and other factors.

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“…We chose to use a T distribution as it has been shown to best fit data in previous studies of similar study systems (Reidy et al, 2018;Schaub & Royle, 2014) and seemed compatible with observed dispersal movements within the study area (Appendix Figure A3 1-3). The mean parameter G i,t is the location vector of the individual i in year t. The variance parameter Gi,t describes the movement variance and this parameter was allowed to vary with habitat types and age as distances to first breeding sites were expected on average longer (natal dispersal) than distances between consecutive breeding sites (breeding dispersal).…”

Section: Survivalmentioning

confidence: 99%